The corpus presented in this article is composed of a limited number of Greek Sign Language (GSL) sentences and was created in order to provide additional data to the already obtained corpus during the first year of the Dicta-Sign project (Matthes et al., 2010). More specifically this corpus intended to serve as the ground upon which a significant part of the recognition process would be tested and evaluated, more precisely, the continuous sign language recognition algorithms developed in the project. Given the targeted nature of this corpus we present here the constraints as well as the procedure followed in order to obtain it. The procedure followed for the creation of this corpus, consists of its linguistic design and validation, the studio and hardware acquisition configuration, the implementation and supervision of the acquisition itself and the post-processing and annotation of the obtained data in order to release the set of usable annotated resources. The specific GSL phrase corpus forms the basis for machine learning and training to serve experimentation in the domain of continuous sign language processing and recognition.
@inproceedings{dimou:12018:sign-lang:lrec,
author = {Dimou, Athanasia-Lida and Pitsikalis, Vassilis and Goulas, Theodoros and Theodorakis, Stavros and Karioris, Panagiotis and Pissaris, Michalis and Fotinea, Stavroula-Evita and Efthimiou, Eleni and Maragos, Petros},
title = {A {GSL} continuous phrase corpus: Design and acquisition},
pages = {23--26},
editor = {Crasborn, Onno and Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Kristoffersen, Jette and Mesch, Johanna},
booktitle = {Proceedings of the {LREC2012} 5th Workshop on the Representation and Processing of Sign Languages: Interactions between Corpus and Lexicon},
maintitle = {8th International Conference on Language Resources and Evaluation ({LREC} 2012)},
publisher = {{European Language Resources Association (ELRA)}},
address = {Istanbul, Turkey},
day = {27},
month = may,
year = {2012},
language = {english},
url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/12018.pdf}
}